Results 21 to 30 of about 10,369,018 (353)
Image Segmentation Using Deep Learning: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, among others, and ...
Shervin Minaee +5 more
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Scientific Reports, 2023 Cast-in-place anchors are being increasingly used in many applications including building construction, bridge, and power plants. The anchorage to concrete systems are subjected to tensile, shear and combined loads from a variety of loading circumstances
Quoc To Bao +4 more
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IEEE Access, 2022 Reinforcement Learning (RL) has shown promising performance in environments for both robotic control and strategic decision making. However, they are usually treated as separate problems with different objectives.
Bruno Brandao +4 more
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Xception: Deep Learning with Depthwise Separable Convolutions [PDF]
Computer Vision and Pattern Recognition, 2016 We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution followed by a pointwise convolution)
François Chollet
semanticscholar +1 more source
An Improved Blind Kriging Surrogate Model for Design Optimization Problems
Mathematics, 2022 Surrogate modeling techniques are widely employed in solving constrained expensive black-box optimization problems. Therein, Kriging is among the most popular surrogates in which the trend function is considered as a constant mean.
Hau T. Mai +4 more
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Short-sighted deep learning [PDF]
Physical Review E, 2020 A theory explaining how deep learning works is yet to be developed. Previous work suggests that deep learning performs a coarse graining, similar in spirit to the renormalization group (RG). This idea has been explored in the setting of a local (nearest neighbor interactions) Ising spin lattice.
Ellen de Mello Koch +3 more
openaire +3 more sources
Alzheimer’s Research & Therapy, 2023 Background Developing a screening method for identifying individuals at higher risk of elevated brain amyloid burden is important to reduce costs and burden to patients in clinical trials on Alzheimer’s disease or the clinical setting.
Noriyuki Kimura +9 more
doaj +1 more source
Wide & Deep Learning for Recommender Systems [PDF]
DLRS@RecSys, 2016 Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs.
Heng-Tze Cheng +15 more
semanticscholar +1 more source
Deep learning: Computational aspects [PDF]
WIREs Computational Statistics, 2020 AbstractIn this article, we review computational aspects of deep learning (DL). DL uses network architectures consisting of hierarchical layers of latent variables to construct predictors for high‐dimensional input–output models. Training a DL architecture is computationally intensive, and efficient linear algebra library is the key for training and ...
Nicholas Polson, Vadim Sokolov
openaire +3 more sources
Deep Learning Face Attributes in the Wild [PDF]
IEEE International Conference on Computer Vision, 2014 Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild.
Ziwei Liu +3 more
semanticscholar +1 more source